Cybersecurity for CAVs: Safety and Security Assurance Against Cyber-Physical Attacks

Cybersecurity for CAVs: Safety and Security Assurance Against Cyber-Physical Attacks

Course Overview: This course will cover a wide range of topics in security and safety for CAVs (Connected and Automated Vehicles), providing a broad introduction of the CAV ecosystem, followed by both known attacks and emerging attacks (e.g., adversarial machine learning), along with defense solutions. The course will provide the introduction of the CAV software stack, the core algorithms, and the role that Machine Learning/AI plays in Transportation, Automated Vehicles, and Connected Vehicles. It also covers how connectivity between vehicles (e.g., using CV2X or DSRC support) can enable new capabilities such as cooperative sensing to improve safety and security of CAV based driving. The second part of the course will cover advanced topics such as hardening the CAV ecosystem and reducing cybersecurity risks, which requires a concerted, multi-pronged approach that incorporates vehicles, diverse sensors, roadside units, transportation, and digital infrastructure including cellular networks and edge/cloud computing facilities. We will survey the existing work in a security analysis framework to study various cybersecurity risks in the CAV ecosystems. The course will conclude with some research results in understanding new attacks on AI (artificial intelligence) algorithms and systems used for cooperative driving and proposed potential new directions in mitigating such threats. Throughout this course, we will also cover the standards and best common practices from industry and standards bodies related to security and safety.


Course Instructor(s): Z. Morley Mao, Professor of Electrical Engineering and Computer Science — University of Michigan
Dr. Andre Weimerskirch, Chief Operating Officer — Block Harbor Cybersecurity

Headshot of Z. Morley Mao. The link directs to their bio page on the CCAT website.

Dr. Morley Mao received their B.S., M.S., and Ph.D. degrees from the University of California at Berkeley. They are a recipient of the NSF CAREER Award, Sloan Fellowship, and the IBM Faculty Partnership Award. They have been named the Morris Wellman Faculty Development Professor. Their research interests encompass network systems, mobile and distributed systems, and network/systems security. Their work involves both empirical data collection and analysis, as well as the design and implementation of new systems.

Andre Weimerskirch Headshot

Dr. André Weimerskirch is COO of Block Harbor Cybersecurity. Before that, André was Vice President for Product Integrity and Technology at Lear Corporation where he was responsible for product security, functional safety, platform software, and validation labs. André also established the transportation cybersecurity group at the University of Michigan Transportation Research Institute (UMTRI) and still holds an Adjunct Associate Research Scientist appointment. André co-founded the embedded systems security company ESCRYPT in 2004 which was sold to Bosch in 2012.

André is active in all areas of transportation cybersecurity and privacy, he is a main designer of the American vehicle-to-vehicle (V2V) SCMS security system, published numerous articles in automotive and embedded cyber security. He is co-founder of the American workshop on embedded security in cars (escar USA), co-chairs the CCAT cybersecurity working group at the University of Michigan and is an advisor to the University of Michigan Dearborn Computer and Information Science Department.


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